GCCVision: An integrated toolkit for calculating and visualizing parental genome contribution in breeding populations

Tracking parental genome contributions in segregating populations is crucial for accelerating genetic gain in plant breeding. We introduce GCCVision (Genome Contribution Calculator and Visualizer), an integrated bioinformatics toolkit to simplify this process. GCCVision uses an efficient Python-based backend and a user-friendly web-based frontend to analyze Variant Call Format (VCF) files from biparental crosses. The software identifies informative single-nucleotide polymorphisms (SNPs), calculates parental contribution rates, and generates clear, customizable graphical genotype maps where chromosome segments are color-coded by parental origin. By providing clear visualizations of genomic composition, GCCVision assists breeders in selection decisions for backcrossing, F<sub>2</sub> analysis, quality control of hybrid seeds, and other breeding programs. This streamlined workflow shortens breeding cycles and accelerates the development of improved crop varieties.

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Publication Details

Journal
iScience
Published
2025-11-28
DOI
https://doi.org/10.1016/j.isci.2025.114286
Primary Topic
Genetic Mapping and Diversity in Plants and Animals
Type
article
Field-Weighted Citation Impact
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article

GCCVision: An integrated toolkit for calculating and visualizing parental genome contribution in breeding populations

Yuxuan Ye, Yifan Yu, Enhui Shen, Xiaoya Ma et al.
iScience
Genetic Mapping and Diversity in Plants and Animals
article

GCCVision: An integrated toolkit for calculating and visualizing parental genome contribution in breeding populations

Yuxuan Ye, Yifan Yu, Enhui Shen, Xiaoya Ma, Zhicheng Shen
article en

Abstract

Tracking parental genome contributions in segregating populations is crucial for accelerating genetic gain in plant breeding. We introduce GCCVision (Genome Contribution Calculator and Visualizer), an integrated bioinformatics toolkit to simplify this process. GCCVision uses an efficient Python-based backend and a user-friendly web-based frontend to analyze Variant Call Format (VCF) files from biparental crosses. The software identifies informative single-nucleotide polymorphisms (SNPs), calculates parental contribution rates, and generates clear, customizable graphical genotype maps where chromosome segments are color-coded by parental origin. By providing clear visualizations of genomic composition, GCCVision assists breeders in selection decisions for backcrossing, F<sub>2</sub> analysis, quality control of hybrid seeds, and other breeding programs. This streamlined workflow shortens breeding cycles and accelerates the development of improved crop varieties.

iScienceVol. 29(1)
ZheJiang Academy of Agricultural Sciences (CN), Rural Development Institute (CN), State Key Laboratory of Rice Biology, Zhejiang University (CN)
Openalex Percentile: Top 61%
Genetic Mapping and Diversity in Plants and Animals
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